A robust and stable gene selection algorithm based on graph theory and machine learning
Abstract Background Nowadays we are observing an explosion of gene expression data with phenotypes. It enables us to accurately identify genes responsible for certain medical condition as well as classify them for drug target. Like any other phenotype data in medical domain, gene expression data wit...
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Autores principales: | Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/21e4f9da095a4dce8150adf6a5967f79 |
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